| Key | Action |
|---|---|
| s | Nodes glow :D |
| c | remove glow |
| p | Print mode - white backgrounds |
| d | Display mode - black backgrounds |
| z | Turn off gravity |
| m | Spacious layout |
| e | Tight layout |
| f | Freeze layout |
| x | Unfreeze all nodes |
[0]
40
adaptive
PyclusteringXMeans(initial_centers=[array([3.45454545e-01, 9.87041036e-01, 4.31965435e-03, 1.14174501e-09,
0.00000000e+00, 4.71348081e-01, 4.27325581e-01, 1.23546512e-01,
1.22641509e-01, 0.00000000e+00, 6.50943396e-01, 5.94339623e-01,
4.05660377e-01, 0.00000000e+00, 1.08359133e-02, 3.09597523e-01,
2.26006192e-01, 8.51393189e-02, 1.93498452e-01, 1.74922601e-01,
6.51260...
0.02273087, 0.05415502, 0.09763244, 0.05315867, 0.07345028,
0.06945268, 0.04497221, 0.02881094, 0.05915579, 0.03088277,
0.07138545, 0.15516212, 0.11665082, 0.06341534, 0.04146218,
0.01938787, 0.02086542, 0. , 0.88178742, 0.80489358,
0.04840785, 0.01907896, 0. , 0.10921818, 0.38226352,
0.38128132, 0.10117031, 0.40595109, 0.01525915, 0.07047592,
0.19706316, 0.31125067, 0.26096487, 0.2388484 , 0.22198629,
0.11368835, 0.19900989])])
None
1
160
444
5156
2069
RO_TP_19_pct, BVAP_pct, HVAP_pct, WVAP_pct, ASIANVAP_pct, normalized_log_area, married_pct, divorced_pct, receiving_public_assistance_pct, non_computer_pct, internet_pct, family_pct, living_alone_pct, non_family_multi_member_pct, lt_highschool_pct, highschool_pct, some_college_pct, associates_pct, bachelors_pct, grad_and_professional_pct, cop_pct, LESS_10K_pct, 10K_15K_pct, 15K_20K_pct, 20K_25K_pct, 25K_30K_pct, 30K_35K_pct, 35K_40K_pct, 40K_45K_pct, 45K_50K_pct, 50K_60K_pct, 60K_75K_pct, 75K_100K_pct, 100K_125K_pct, 125K_150K_pct, 150K_200K_pct, 200K_MORE_pct, normalized_centroid_x, normalized_centroid_y, drives_alone_work_pct, public_transit_work_pct, walk_to_work_pct, bike_to_work_pct, lt_10_min_pct, 10_to_30_min_pct, 30_to_60_min_pct, gt_60_min_pct, eng_only_pct, esp_lim_pct, esp_not_lim_pct, other_lang_lim_pct, other_lang_not_lim_pct, mbsa_occupation_pct, service_occupation_pct, sales_and_office_occupation_pct, nrcm_occupation_pct, ptmm_occupation_pct, female_pct, veteran_pct
mean